Establish Data Governance
Establish data trust and accountability with strong governance.
Onsite Workshop
Lack of a formalized data governance program will cause:
- Inability to make good decisions.
- Dissatisfaction from customers, partners, and suppliers.
- Wasted time and efforts from sifting through duplicate and incomplete data.
- Inadequate data for business operations.
A data governance program will:
- Decrease the amount of duplicate, rogue, incomplete, and stale data to enhance user trust.
- Provide quicker and more accurate business reports that are not conflicting and help to aid decision making.
- Provide concrete data to back business decisions.
- Enable strong customer/supplier relationships as there is little miscommunication or confusion around relevant data.
- Save time and money by catching and clearing up data as it enters the system before it has a chance to impact the business.
- Mitigate data compliance and security risks through appropriate data policies and procedures.
Module 1: Establish Business Context and Value
The Purpose
- Identify key business data assets that need to be governed.
- Create a unifying vision for the data governance program.
Key Benefits Achieved
- Understand the value of data governance and how it can help the organization better leverage its data.
- Gain knowledge of how data governance can benefit both IT and the business.
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Establish business context, value, and scope of data governance at the organization |
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| 1.2 | Introduction to Info-Tech’s data governance framework |
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| 1.3 | Discuss vision and mission for data governance |
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| 1.4 | Understand your business architecture, including your business capability map and value streams |
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| 1.5 | Build use cases aligned to core business capabilities |
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Module 2: Understand Current Data Governance Capabilities and Plot Target-State Levels
The Purpose
- Assess which data contains value and/or risk and determine metrics that will determine how valuable the data is to the organization.
- Assess where the organization currently stands in data governance initiatives.
- Determine gaps between the current and future states of the data governance program.
Key Benefits Achieved
- Gain a holistic understanding of organizational data and how it flows through business units and systems.
- Identify which data should fall under the governance umbrella.
- Determine a practical starting point for the program.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Understand your current data governance capabilities and maturity |
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| 2.2 | Set target-state data governance capabilities |
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Module 3: Build Data Domain to Data Governance Role Mapping
The Purpose
- Determine strategic initiatives and create a roadmap outlining key steps required to get the organization to start enabling data-driven insights.
- Determine timing of the initiatives.
Key Benefits Achieved
- Establish clear direction for the data governance program.
- Step-by-step outline of how to create effective data governance, with true business-IT collaboration.
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Evaluate and prioritize performance gaps |
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| 3.2 | Develop and consolidate data governance target-state initiatives |
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| 3.3 | Define the role of data governance: data domain to data governance role mapping |
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Module 4: Formulate a Plan to Get to Your Target State
The Purpose
- Consolidate the roadmap and other strategies to determine the plan of action from Day One.
- Create the required policies, procedures, and positions for data governance to be sustainable and effective.
Key Benefits Achieved
- Prioritized initiatives with dependencies mapped out.
- A clearly communicated plan for data governance that will have full business backing.
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Identify and prioritize next steps |
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| 4.2 | Define roles and responsibilities and complete a high-level RACI |
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| 4.3 | Wrap-up and discuss next steps and post-workshop support |
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